public void SetupForEvolution(Population the_population, FitnessDirection fd)
{
this.direction = fd;
this.CurrentGeneration = new Generation(0);
this.CurrentGeneration.population = the_population;
if (this.CurrentGeneration.population.IsEmpty)
{
throw new GeneticError("Cannot start with empty population");
}
}
public void SetupForEvolution(Population the_population, FitnessDirection fd )
{
this.direction = fd;
this.CurrentGeneration = new Generation(0);
this.CurrentGeneration.population = the_population ;
if ( this.CurrentGeneration.population.IsEmpty )
{
throw new GeneticError("Cannot start with empty population");
}
}
public void SortPopulation(Population p, FitnessDirection fd)
{
if (fd == FitnessDirection.Minimize)
{
p.Sort(Environment.m_min_comparer);
// Double-check the sort
if (p[0].Fitness > p[p.Size - 1].Fitness)
{
throw new GeneticError("Sort did not work");
}
}
else
{
p.Sort(Environment.m_max_comparer);
// Double-check the sort
if (p[0].Fitness < p[p.Size - 1].Fitness)
{
throw new GeneticError("Sort did not work");
}
}
}
public void SortPopulation( Population p, FitnessDirection fd )
{
if ( fd==FitnessDirection.Minimize )
{
p.Sort( Environment.m_min_comparer );
// Double-check the sort
if (p[ 0 ].Fitness >p[ p.Size-1 ].Fitness )
{
throw new GeneticError("Sort did not work");
}
}
else
{
p.Sort( Environment.m_max_comparer );
// Double-check the sort
if (p[ 0 ].Fitness <p[ p.Size-1 ].Fitness )
{
throw new GeneticError("Sort did not work");
}
}
}